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Why this grade This listing scored 81/100, which is a B. It lost the most ground on remote clarity. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Corroboration 10 / 10 Whether more than one source carries this listing.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Entry level Mid level Contractor
Role Title: Data Analyst
Role Type: Contractor
Location: Remote, US-based.
micro1 is engaging Data Analysts to contribute their knowledge and expertise to a customer’s data quality project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
- Review datasets and detailed task outputs for accuracy, completeness, and adherence to guidelines.
- Identify and flag inconsistencies, errors, and outputs that deviate from provided instructions.
- Apply structured rubrics and evaluation criteria consistently across large data sets.
- Exercise sound judgment and document rationale in ambiguous scenarios where guidelines are unclear.
- Escalate patterns or recurring data issues for further analysis rather than addressing them individually.
- Provide clear, actionable written and verbal feedback pinpointing issues and suggesting resolution paths.
- Maintain meticulous attention to detail while working through high volumes of repetitive data review assignments.
Preferred Qualifications
- 3–5+ years of experience in data review, data quality, quality assurance, or analytical roles.
- Proven expertise in reviewing, validating, and critiquing data or deliverables based on explicit criteria.
- Exceptional ability to follow detailed written instructions and apply complex evaluation rubrics precisely.
- Demonstrated comfort with ambiguity, including making justifiable decisions when guidelines are incomplete.
- Advanced attention to detail and error-spotting capabilities across repetitive or high-volume work.
- Strong written and verbal communication skills for documenting findings and providing feedback.
- Baseline fluency with spreadsheets (sorting, filtering, simple formulas); SQL or hands-on data querying is a plus.
- Experience with data annotation, labeling, or rubric-based evaluation is advantageous.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 24 Sep 2026 Himalayas first sighting
Seen on 1 board over 4 days.